Puzzle Game as Learning Identifier: HELLTAKER Use Case

Abstract

Learning styles are preferences that individual learner has for learning information and responding to the learning environment. These styles can be used to help instructors design the courses to tailor each learner in order to make the learner learn effectively. The Index of Learning Styles (ILS) is the psychometric instrument for identifying Felder Silverman learning styles which have been used mainly, but there are many limitations of usages. This research aims to approach alternative ways to identify Felder-Silverman learning styles y using puzzle-game and machine learning. The acquired result shows that puzzle-game can be a practical alternative approach as learning styles identifier with weighted average accuracy 53.85% on procession styles, 84.615% on perception styles, and 53.85% on understanding styles compared to the result obtained from the ILS.